3 accepted papers
Drowsy driving is a leading cause of traffic accidents, often linked to delayed reaction times (RT). While EEG-based methods are effective in detecting drowsiness, they struggle with the lack of adaptive mechanisms for selecting optimal time windows that capture neural synchrony, and the limited gen…
We present a novel framework that learns to predict human anatomy from body surface. Specifically, our approach generates a synthetic X-ray image of a person only from the person's surface geometry. Furthermore, the synthetic X-ray image is parametrized and can be manipulated by adjusting a set of b…
In this paper, we present a novel Deep Decision Network (DDN) that provides an alternative approach towards building an efficient deep learning network. During the learning phase, starting from the root network node, DDN automatically builds a network that splits the data into disjoint clusters of c…